# Amazon S3 MCP Server by CData

> Amazon S3 MCP Server by CData — cdatasoftware-amazon-s3-mcp-server-by-cdata. Use this tool when you need to integrate Amazon S3 with other applications and services, solving data connectivity and synchronization problems. It provides a scalable and secure interface for accessing and managing S3 data, accepting inputs such as SQL queries and API calls, and outputting data in various formats. Ideal for use cases requiring real-time data integration, data warehousing, and business intelligence.

Canonical page: https://skillsregistry.net/skills/cdatasoftware-amazon-s3-mcp-server-by-cdata  
JSON: https://api.skillsregistry.net/v1/skills/cdatasoftware-amazon-s3-mcp-server-by-cdata

## Description

This read-only MCP Server allows you to connect to Amazon S3 data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/f4nsyd1o2j)
- **Repository:** <https://github.com/CDataSoftware/amazon-s3-mcp-server-by-cdata>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "cdatasoftware-amazon-s3-mcp-server-by-cdata"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cdatasoftware-amazon-s3-mcp-server-by-cdata` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cdatasoftware-amazon-s3-mcp-server-by-cdata/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt